True/False: Two classifications of statistical descriptions are measures of cent

ID: 3155874 • Letter: T

Question

True/False:

Two classifications of statistical descriptions are measures of central tendency and measures of variability.

Sampling error decreases with an increase in sample size.

The coefficient of variation allows us to compare two sets of data based on different measurement units.

Chebysheff’s theorem only applies to mound shaped data distributions.

In a sample of 25 with standard deviation 4 the sum of squared deviations from the sample mean is 96.

The probability of a “certain event” is 1 while the probability of an “impossible event” is 0.

True/False:

Two classifications of statistical descriptions are measures of central tendency and measures of variability. True

Sampling error decreases with an increase in sample size. True

The coefficient of variation allows us to compare two sets of data based on different measurement units. True

Chebysheff’s theorem only applies to mound shaped data distributions. False

Chebyshev’s Theorem is applies to any shaped data distributions.

In a sample of 25 with standard deviation 4 the sum of squared deviations from the sample mean is 96.

False

sum of squared deviations from the sample mean = (n-1)s2 = 24*16=384

The probability of a “certain event” is 1 while the probability of an “impossible event” is 0.

True

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